Abstract
As a country that has a lot of car users, the parking management and its security are quite complicated issues. This paper is described the use of facial recognition system using Eigenface method, to identify the drivers of four-wheeled vehicles. the face of the driver of the car was taken while taking a parking ticket and will be recorded as comparative data source that will be used to identify the driver when paying the parking fee. The results of this research tests performed are able to recognize when the driver out, but the results will be better if the driver’s face image capture using multiple cameras so Eigenface face recognition system has enough resources to recognize the driver’s face. This system is expected to reduce the number of car thefts committed in parking places.
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Tjiharjadi, S., Setiadarma, W. (2015). Face Recognition for Additional Security at Parking Place. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds) Intelligence in the Era of Big Data. ICSIIT 2015. Communications in Computer and Information Science, vol 516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46742-8_31
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DOI: https://doi.org/10.1007/978-3-662-46742-8_31
Publisher Name: Springer, Berlin, Heidelberg
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